eClinicalWorks Accelerates Clinical Efficiency by Reducing Paperwork with AI

eClinicalWorks, a leading US healthcare IT company, tackled the inefficiencies of manual paperwork and document management prevalent in the healthcare sector, where millions of faxes are still exchanged annually. Using a suite of Microsoft technologies—including Azure AI Services, Azure AI Document Intelligence, Copilot Studio, Microsoft Fabric, and Azure AI Studio—they created AI solutions for automating administrative workflows. The AI-powered system sorts and matches faxed medical records to patient charts automatically, reducing administrative burden. Additional AI agents were implemented for scheduling, patient triage, and automated nursing documentation, freeing up clinical staff to focus more on patient care. Evolvous contributed as a partner in redefining healthcare solutions using the Microsoft ecosystem. The transformation enabled thousands of practitioners to save hours previously spent on paperwork, boost documentation accuracy and efficiency, and fundamentally transform clinical delivery.

Organization
eClinicalWorks
Industry
Healthcare
Published
December 2024

Reported outcomes

Strategic outcomes

Speed & agilityAutomated medical fax processingNew product / capabilityEnabled AI scheduling and triage agentsCost efficiencyReduced administrative overheadCustomer experience & trustImproved patient care delivery

Primary read

Use case focus

Showing 3 of 3

  • 1AI-powered Automated Medical Record Sorting
  • 2AI Agent for Healthcare Scheduling and Triage
  • 3Automated Nursing Workflow Documentation
  • High volumes of manual paperwork and medical fax processing burdened healthcare professionals.
  • Sorting and categorizing medical records was a time-consuming, error-prone manual process.
  • Clinical workflows suffered from inefficiencies, limiting time spent on patient care.
  • Nurses and care teams spent a significant portion of their work hours documenting and processing information.
  • Developed enterprise-scale AI tools using Azure AI Document Intelligence to automate scanning, sorting, and archiving of faxes.
  • Applied healthcare-specific AI models through Azure AI Studio to enhance data analysis and triage.
  • Leveraged Copilot Studio to build AI agents for automating appointment scheduling and patient triaging.
  • Utilized Microsoft Fabric for unified data management and analytics across healthcare workflows.
  • Thousands of practitioners saved significant time by reducing paperwork.
  • Documented improvements in workflow efficiency and reduction in administrative overhead.
  • Freed up clinical staff to focus more on direct patient care instead of administrative tasks.
  • Healthcare delivery and patient outcomes significantly improved through better workflow automation.
Architecture

Azure AI Document Intelligence automates the scanning and categorization of medical records; AI healthcare models are deployed via Azure AI Studio for data analysis and triage; Copilot Studio is used to create AI agents for scheduling and documentation; Microsoft Fabric provides integrated data analytics and management for workflow optimization.

Implementation partners1
Sources & evidence1
Groundedness: Unavailable

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